We compare the ability of 11 differential emission measure (DEM) forwardfitting and inversion methods to constrain the properties of active regions and solar flares by simulating synthetic data using the instrumental response functions of the Solar Dynamics Observatory/Atmospheric Imaging Assembly (SDO/AIA) and EUV Variability Experiment (SDO/EVE), the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI), and the Geostationary Operational Environmental Satellite/X-ray Sensor (GOES/XRS). The codes include the single-Gaussian DEM, a bi-Gaussian DEM, a fixed-Gaussian DEM, a linear spline DEM, the spatial-synthesis DEM, the Monte-Carlo Markov Chain DEM, the regularized DEM inversion, the Hinode/X-Ray Telescope (XRT) method, a polynomial spline DEM, an EVE+GOES, and an EVE+RHESSI method. Averaging the results from all 11 DEM methods, we find the following accuracies in the inversion of physical parameters: the EM-weighted temperature T fit w /T sim w = 0.9 ± 0.1, the peak emission measure EM fit p /EM sim p = 0.6 ± 0.2, the total emission measure EM fit t /EM sim t = 0.8 ± 0.3, and the B M.J. Aschwanden aschwanden@lmsal.com A. Caspi M.J. Aschwanden et al.multi-thermal energies E fit th /EM approx th = 1.2 ± 0.4. We find that the AIA spatial-synthesis, the EVE+GOES, and the EVE+RHESSI method yield the most accurate results.